2021
DOI: 10.1016/j.fuel.2021.121090
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Scale-dependent permeability and formation factor in porous media: Applications of percolation theory

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Cited by 23 publications
(14 citation statements)
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References 68 publications
(119 reference statements)
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“…The increasing trend in the scale dependence of the permeability was reported by Esmaeilpour et al. (2021) who simulated flow in Networks 1 to 3 with Z = 6 (see their Figures 5–7). They did not, however, utilize finite‐size scaling analysis to explain the scale dependence of the permeability in such networks.…”
Section: Resultssupporting
confidence: 72%
“…The increasing trend in the scale dependence of the permeability was reported by Esmaeilpour et al. (2021) who simulated flow in Networks 1 to 3 with Z = 6 (see their Figures 5–7). They did not, however, utilize finite‐size scaling analysis to explain the scale dependence of the permeability in such networks.…”
Section: Resultssupporting
confidence: 72%
“…Laboratory data further support the idea that permeability increases with spatial scale (e.g., Schulze‐Makuch et al., 1999). However, simulations indicate that permeability can both increase and decrease with spatial scale (e.g., Esmaeilpour et al., 2021; Ghanbarian, 2022; Nordahl & Ringrose, 2008; Sahimi et al., 1986). Consequently, this previous work demonstrates that varying the spatial scale in three‐dimensions can change estimates of permeability, and the present analysis demonstrates that it is similarly difficult to estimate the three‐dimensional tortuosity (and thus permeability) from two‐dimensional observations.…”
Section: Discussionmentioning
confidence: 99%
“…The retention curve gives the matrix potential (or capillary pressure) as a function of saturation under equilibrium conditions 9 , 10 . It was shown that the retention curve and other physical properties depend on the volume of the sample 11 15 . However, this important issue has not usually been considered in porous media flow modelling.…”
Section: Introductionmentioning
confidence: 99%